Nowadays, wind energy has drawn increasing attention as its important role in carbon neutrality and sustainable development. When wind power is integrated into the power grid, precise forecasting is necessary for the sustainability and security of the system. However, the unpredictable nature and long sequence prediction make it especially challenging. In this technical report, we introduce the BERT model applied for Baidu KDD Cup 2022, and the daily fluctuation is added by post-processing to make the predicted results in line with daily periodicity. Our solution achieves 3rd place of 2490 teams. The code is released athttps://github.com/LongxingTan/KDD2022-Baidu

翻译：如今，风能因其在碳中和与可持续发展中的重要作用而日益受到关注。当风力发电并入电网时，精确的预测对于系统的可持续性和安全性至关重要。然而，风能的不确定性及长序列预测使其尤其具有挑战性。在本技术报告中，我们介绍了应用于百度KDD Cup 2022的BERT模型，并通过后处理添加日均波动，使预测结果符合日周期性。我们的解决方案在2490支队伍中取得了第3名的成绩。代码已发布在https://github.com/LongxingTan/KDD2022-Baidu。